Machine Learning Specialization
The Machine Learning Specialization has 3 courses and 95 hours of Andrew Ng's lessons. Coursera's FAQ says you cannot take it for free, so check the cost first.
The most reliable name in free-to-audit AI education. Skip the certificate unless you need it for a CV.
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| Cost model | Free to audit on Coursera; certificates are paid |
|---|---|
| Certificates | Paid, issued via Coursera |
| Best for | Structured, well-produced courses from Andrew Ng's team |
| Weakest at | Hands-on practice: leans toward video and quizzes over projects |
| Courses we have reviewed | 4 |
Every course can be audited for free. You pay only for the certificate.
Paid, issued via Coursera
The Machine Learning Specialization has 3 courses and 95 hours of Andrew Ng's lessons. Coursera's FAQ says you cannot take it for free, so check the cost first.
Andrew Ng's non-technical primer on what AI is good for and how to plan around it at work. It takes 7 hours on Coursera, and the certificate is paid.
What large language models can actually do for you and your team, without writing a line of code. Andrew Ng teaches it in 6 hours on Coursera, certificate paid.
A short course on getting reliable output from an LLM API, with runnable notebooks.
The most reliable name in free-to-audit AI education. Skip the certificate unless you need it for a CV.
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